OncomiR: An online resource for exploring pan-cancer microRNA dysregulation

Nathan W. Wong, Yuhao Chen, Shuai Chen, Xiaowei Wang

Research output: Contribution to journalArticlepeer-review

114 Scopus citations

Abstract

Summary Dysregulation of microRNAs (miRNAs) is extensively associated with cancer development and progression. miRNAs have been shown to be biomarkers for predicting tumor formation and outcome. However, identification of the relationships between miRNA expression and tumor characteristics can be difficult and time-consuming without appropriate bioinformatics expertise. To address this issue, we present OncomiR, an online resource for exploring miRNA dysregulation in cancer. Using combined miRNA-seq, RNA-seq and clinical data from The Cancer Genome Atlas, we systematically performed statistical analyses to identify dysregulated miRNAs that are associated with tumor development and progression in most major cancer types. Additional analyses further identified potential miRNA-gene target interactions in tumors. These results are stored in a backend database and presented through a web server interface. Moreover, through a backend bioinformatics pipeline, OncomiR can also perform dynamic analysis with custom miRNA selections for in-depth characterization of miRNAs in cancer. Availability and implementation The OncomiR website is freely accessible at www.oncomir.org. Contact xiaowei.wang@wustl.edu Supplementary informationSupplementary dataare available at Bioinformatics online.

Original languageEnglish
Pages (from-to)713-715
Number of pages3
JournalBioinformatics
Volume34
Issue number4
DOIs
StatePublished - Feb 15 2018

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